Displaying results 1 - 4 of 4
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Differentiating ZIP Codes in Syndromic Data; What Can They Tell Us?
Content Type: Abstract
The NYC Department of Health and Mental Hygiene (DOHMH) ED syndromic surveillance system receives data from 95% of all ED visits in NYC totaling 4 million visits each year. The data include residential ZIP code as reported by the patient. ZIP code… read more… surveillance system receives data from 95% of all ED visits in NYC totaling 4 million visits each year. The data include residential ZIP code as … code information has been used by the DOHMH to separate visits into NYC and nonNYC for analysis; and, a closer … -
Detecting Changes in Chief Complaint Word Count: Effects on Syndromic Surveillance
Content Type: Abstract
The New York City (NYC) Department of Health and Mental Hygiene (DOHMH) receives daily ED data from 49 of NYC’s 52 hospitals, representing approximately 95% of ED visits citywide. Chief complaint (CC) is categorized into syndrome groupings using… read more… NYC’s 52 hospitals, representing approximately 95% of ED visits citywide. Chief complaint (CC) is categorized into … and among EDs. The variations seen in CC word count may affect the quality and type of data received by the … DOHMH, thereby affecting the ability to detect syndrome visits consistently. Objective To identify changes in … -
Evaluating Syndromic Data for Surveillance of Non-infectious Disease
Content Type: Abstract
Syndromic surveillance data has predominantly been used for surveillance of infectious disease and for broad symptom types that could be associated with bioterrorism. There has been a growing interest to expand the uses of syndromic data beyond… read more… this work compares SS and SPARCS data for total ED visits and visits associated with three noninfectious disease … this work compares SS and SPARCS data for total ED visits and visits associated with three noninfectious … -
Long-Term Asthma Trend Monitoring in New York City: A Mixed Model Approach
Content Type: Abstract
Over the last decade, the application of syndromic surveillance systems has expanded beyond early event detection to include longterm disease trend monitoring. However, statistical methods employed for analyzing syndromic data tend to focus on early… read more… event detection. Generalized linear mixed models (GLMMs) may be a useful statistical framework for examining … event detection. Generalized linear mixed models (GLMMs) may be a useful statistical framework for examining …